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The hybrid energy system design problem needs efficacy tools to reach optimal results in remote areas. The metaheuristic optimization methods are the best choice to address complex problems.
Hao Liu +3 more
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A hybrid gene selection method based on gene scoring strategy and improved particle swarm optimization [PDF]
Background Gene selection is one of the critical steps in the course of the classification of microarray data. Since particle swarm optimization has no complicated evolutionary operators and fewer parameters need to be adjusted, it has been used ...
Fei Han +5 more
doaj +2 more sources
In an islanded microgrid with multiple distributed generations (DGs), the difference in line impedance may cause local voltage deviation, which leads to a series of problems such as lower power allocation accuracy and bus voltage drop under traditional ...
Liang Zhang +4 more
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Application of Improved Particle Swarm Optimization for Navigation of Unmanned Surface Vehicles. [PDF]
Multi-sensor fusion for unmanned surface vehicles (USVs) is an important issue for autonomous navigation of USVs. In this paper, an improved particle swarm optimization (PSO) is proposed for real-time autonomous navigation of a USV in real maritime ...
Xin J, Li S, Sheng J, Zhang Y, Cui Y.
europepmc +2 more sources
A Path Planning Method for AGV Based on Improved PSO-PIO Algorithm
In order to solve the problem of particle swarm optimization algorithm easily falling into local optimum in global path planning, according to the related theories of particle swarm optimization algorithm and pigeon-inspired optimization algorithm, the ...
QIN Chang-li +4 more
doaj +1 more source
Research on Bearing Fault Diagnosis Method Based on IPSO-RVM
Aiming at the problems of poor classification effect of support vector machine in traditional particle swarm optimization support vector machine and inaccuracy of traditional particle swarm optimization in bearing fault diagnosis, an improved particle ...
ZHANG Han +4 more
doaj +1 more source
In order to enhance the energy efficiency of unmanned aerial vehicles (UAVs) during flight operations in mountainous terrain, this research paper proposes an improved particle swarm optimization (PSO) algorithm-based optimal energy path planning method ...
Yiwei Na +6 more
semanticscholar +1 more source
Stock market volatility has a significant impact on many economic and financial activities in the world. Forecasting stock price movement plays an important role in setting an investment strategy or determining the right timing for trading.
Yi Ji, Alan Wee-Chung Liew, Lixia Yang
semanticscholar +1 more source
The optimization of injection–production parameters is an important step in the design of gas injection development schemes, but there are many influencing factors and they are difficult to determine. To solve this problem, this paper optimizes injection-
Yukun Dong +3 more
doaj +1 more source
Path Planning of Mobile Robots Based on an Improved Particle Swarm Optimization Algorithm
Aiming at disadvantages of particle swarm optimization in the path planning of mobile robots, such as low convergence accuracy and easy maturity, this paper proposes an improved particle swarm optimization algorithm based on differential evolution. First,
Qingni Yuan, Rui Sun, Xiaoyi Du
semanticscholar +1 more source

